Data Ingestion & Knowledge Sources
Document Formats – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB per file)Cloud Integrations – Drive, OneDrive, Dropbox, Notion, SharePoint, auto 24-hour sync⚠️ Storage Limits – 1M chars (Free), 20M (Pro), 50M (Business)⚠️ Search Constraint – Fuzziness <100 limits to first 1,500 files
Document support – PDF, DOCX, HTML automatically indexed (Vectara Platform )Auto-sync connectors – Cloud storage and enterprise system integrations keep data currentEmbedding processing – Background conversion to embeddings enables fast semantic search
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archivesWebsite crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public contentMultimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-inCloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-syncKnowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectorsMassive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
5,000+ Apps – Via Pipedream Connect with 2,500+ ready actionsMessaging – Slack, WhatsApp, Teams, Telegram, Discord, Twilio SMSCRM – Salesforce (24 actions), HubSpot, Pipedrive, Zoho CRMProductivity – Notion, Airtable, Google Workspace (Gmail, Calendar, Docs, Sheets, Drive)Webhooks + HTTP – Inbound triggers and outbound API calls
REST APIs & SDKs – Easy integration into custom applications with comprehensive toolingEmbedded experiences – Search/chat widgets for websites, mobile apps, custom portalsLow-code connectors – Azure Logic Apps and PowerApps simplify workflow integration
Website embedding – Lightweight JS widget or iframe with customizable positioningCMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce toolsMCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, WindsurfOpenAI SDK compatible – Drop-in replacement for OpenAI API endpointsLiveChat + Slack – Native chat widgets with human handoff capabilities
Agent Autonomy Focus – Task execution vs conversational chatbotMulti-Lingual – 30+ (voice), 50+ (transcription), 85+ (text)✅ Lead Capture – Real-time qualification, CRM sync (70% higher conversion claimed)Agent Evals – Benchmarking with regression prevention
Agentic RAG Framework – Python library for autonomous agents: emails, bookings, system integrationAgent APIs (Tech Preview) – Customizable reasoning models, behavioral instructions, tool access controlsLlamaIndex integration – Rapid tool creation connecting Vectara corpora, single-line code generationMulti-LLM support – OpenAI, Anthropic, Gemini, GROQ, Together.AI, Cohere, AWS Bedrock integrationStep-level audit trails – Source citations, reasoning steps, decision paths for governance compliance✅ Grounded actions – Document-grounded decisions with citations, 0.9% hallucination rate (Mockingbird-2-Echo)⚠️ Developer platform – Requires programming expertise, not for non-technical teams⚠️ No chatbot UI – No polished widgets or turnkey conversational interfaces⚠️ Tech preview status – Agent APIs subject to change before general availability
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasksMulti-Agent Systems – Specialized agents for support, sales, knowledgeMemory & Context – Persistent conversation history across sessionsTool Integration – Webhooks + 5,000 Zapier apps for automationContinuous Learning – Auto re-indexing without manual retraining
Widget – Custom name, accent color, logo for expanded/collapsed statesDomain Restrictions – Control allowed deployment domainsMemory Snippets – Learning preferences saved across sessions⚠️ White-Label Unclear – Complete branding removal not explicitly confirmed
White-label control – Full theming, logos, CSS customization for brand alignmentDomain restrictions – Bot scope and branding configurable per deploymentSearch UI styling – Result cards and search interface match company identity
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost2-minute setup – No-code wizard with drag-and-drop interfacePersona customization – Control AI personality, tone, response style via pre-promptsVisual theme editor – Real-time preview of branding changesDomain allowlisting – Restrict embedding to approved sites only
Anthropic Claude – Sonnet 4.5 (default), Sonnet 3.7, Haiku 3.5OpenAI – GPT-5, GPT-5 Codex, GPT-4o, GPT-4 Turbo, o3, o1Google Gemini – 2.5 Pro, 2.5 Flash, 2.0 FlashPer-Action Selection – Manual model choice affects credit consumption⚠️ No Auto-Routing – No dynamic model switching
Mockingbird default – In-house model with GPT-4/GPT-3.5 via Azure OpenAI availableFlexible selection – Choose model balancing cost versus quality for use caseCustom prompts – Prompt templates configurable for tone, format, citation rules
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
⚠️ CRITICAL LIMITATION – NO public REST API, GraphQL, or SDKsWorkarounds Only – Inbound webhooks, HTTP actions, Code sandboxes (~150ms)User-Focused Docs – Lindy Academy for business users, NO API reference
Multi-language SDKs – C#, Python, Java, JavaScript with REST API (FAQs )Clear documentation – Sample code and guides for integration, indexing operationsSecure authentication – Azure AD or custom auth setup for API access
REST API – Full-featured for agents, projects, data ingestion, chat queriesPython SDK – Open-source customgpt-client with full API coveragePostman collections – Pre-built requests for rapid prototypingWebhooks – Real-time event notifications for conversations and leadsOpenAI compatible – Use existing OpenAI SDK code with minimal changes
Hybrid Search – Semantic + keyword with Fuzziness slider (0-100)Hallucination Reduction – Human confirmation before actions⚠️ NO Published Benchmarks – No RAG accuracy or latency metrics⚠️ Black Box – Vector database and embedding models undisclosed
✅ Enterprise scale – Millisecond responses with heavy traffic (benchmarks )✅ Hybrid search – Semantic and keyword matching for pinpoint accuracy✅ Hallucination prevention – Advanced reranking with factual-consistency scoring
Sub-second responses – Optimized RAG with vector search and multi-layer cachingBenchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants APIAnti-hallucination tech – Responses grounded only in your provided contentOpenGraph citations – Rich visual cards with titles, descriptions, images99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Free: $0 – 400 credits, 1M char knowledge basePro: $49.99 – 5,000 credits, 20M chars, phone calls, Lindy brandingBusiness: $199.99-$299.99 – 20K-30K credits, 50M chars, custom brandingEnterprise: Custom – SSO, SCIM, dedicated support, custom training⚠️ Unpredictable Costs – Credit depletion speed is primary user complaint
Usage-based pricing – Free tier available, bundles scale with growth (pricing )Enterprise tiers – Plans scale with query volume, data size for heavy usageDedicated deployment – VPC or on-prem options for data isolation requirements
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
SOC 2 Type II, HIPAA, GDPR, PIPEDA, CCPA – Comprehensive complianceEncryption – AES-256 at rest, TLS 1.2+ in transitEnterprise SSO + SCIM – Automated user lifecycle management⚠️ US Data Residency Only – No explicit EU option documented
✅ Data encryption – Transit and rest encryption, no model training on your content✅ Compliance certifications – SOC 2, ISO, GDPR, HIPAA (details )✅ Customer-managed keys – BYOK support with private deployments for full control
SOC 2 Type II + GDPR – Third-party audited complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
Observability & Monitoring
Workflow Performance – Agent action visibility with recent runsAudit Logs – User actions, data access on Business/Enterprise plans⚠️ Log Retention – 1 day (Free) severely constrains troubleshooting⚠️ NO RAG Metrics – Cannot track retrieval precision or recall
Azure portal dashboard – Query latency, index health, usage metrics at-a-glanceAzure Monitor integration – Azure Monitor and App Insights for custom alertsAPI log exports – Metrics exportable via API for compliance, analysis reports
Real-time dashboard – Query volumes, token usage, response timesCustomer Intelligence – User behavior patterns, popular queries, knowledge gapsConversation analytics – Full transcripts, resolution rates, common questionsExport capabilities – API export to BI tools and data warehouses
Email Support – support@lindy.ai, security@lindy.ai, privacy@lindy.aiSlack + Forum – community.lindy.ai for peer support100+ Templates – Pre-built workflow automation scenarios⚠️ Support Inconsistency – Mixed reviews on responsiveness for lower tiers
Microsoft network – Comprehensive docs, forums, technical guides backed by MicrosoftEnterprise support – Dedicated channels and SLA-backed help for enterprise plansAzure ecosystem – Broad partner network and active developer community access
Comprehensive docs – Tutorials, cookbooks, API referencesEmail + in-app support – Under 24hr response timePremium support – Dedicated account managers for Premium/EnterpriseOpen-source SDK – Python SDK, Postman, GitHub examples5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
✅ 4.9/5 G2 Rating – 109+ reviews validate ease of useAgent Builder – Natural language prompts create complex agentsSetup Speed – 30 seconds vs 15-60 minutes with Zapier/MakeDrag-Drop Builder – Visual workflow construction, zero coding
Azure portal UI – Straightforward index management and settings configuration interfaceLow-code options – PowerApps, Logic Apps connectors enable quick non-dev integration⚠️ Technical complexity – Advanced indexing tweaks require developer expertise vs turnkey tools
2-minute deployment – Fastest time-to-value in the industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
Autopilot & Computer Use ( Core Differentiator)
Unique Capability – AI agents operate cloud-based virtual computersNo API Required – Interact with any website/application through computer visionE2B Sandboxes – Secure Python/JavaScript execution (~150ms startup)✅ Market Differentiation – Computer Use unique among no-code automation platforms
N/A
N/A
Multi- Agent Collaboration
Societies of Lindies – Multiple specialized agents with delegation rulesContext Preservation – Full conversation history passed between agentsUse Cases – Sales (SDR → AE → CS), Support (Triage → Technical → Escalation)Learning Shared – Feedback across agent society for collective improvement
N/A
N/A
Lead Capture & Conversion
Real-Time Qualification – AI evaluates lead quality during conversationEnrichment – Firmographic data, UTM attribution, validationAuto CRM Sync – Qualified leads flow to Salesforce, HubSpot, Pipedrive, Zoho✅ 70% Higher Conversion – Claimed vs traditional forms (vendor claim)
N/A
N/A
R A G-as-a- Service Assessment
⚠️ NOT a RAG Platform – Workflow automation for business users vs developersBlack-Box RAG – Hybrid search with no exposed retrieval controlsNO API, SDKs, CLI – No programmatic access for developers
Platform Type – TRUE ENTERPRISE RAG-AS-A-SERVICE: Agent OS for trusted AICore Mission – Deploy AI assistants/agents with grounded answers, safe actions, always-on governanceTarget Market – Enterprises needing production RAG, white-label APIs, VPC/on-prem deploymentsRAG Implementation – Mockingbird LLM (26% better than GPT-4), hybrid search, multi-stage rerankingAPI-First Architecture – REST APIs, SDKs (C#/Python/Java/JS), Azure integration (Logic Apps/Power BI)Security & Compliance – SOC 2 Type 2, ISO 27001, GDPR, HIPAA, BYOK, VPC/on-premAgent-Ready Platform – Python library, Agent APIs, structured outputs, audit trails, policy enforcementAdvanced RAG Features – Hybrid search, reranking, HHEM scoring, multilingual retrieval (7 languages)Funding – $53.5M raised ($25M Series A July 2024, FPV/Race Capital)⚠️ Enterprise complexity – Requires developer expertise for indexing, tuning, agent configuration⚠️ No no-code builder – Azure portal management but no drag-and-drop chatbot builder⚠️ Azure ecosystem focus – Best with Azure, less smooth for AWS/GCP cross-cloud flexibilityUse Case Fit – Mission-critical RAG, regulated industries (SOC 2/HIPAA), white-label APIs, VPC/on-prem
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructureAPI-first – REST API, Python SDK, OpenAI compatibility, MCP ServerNo-code option – 2-minute wizard deployment for non-developersHybrid positioning – Serves both dev teams (APIs) and business users (no-code)Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
✅ Primary Advantage – 4.9/5 G2 usability with 5,000+ integrationsFinancial Validation – $5.1M revenue, $50M+ funding (Menlo, Battery, Coatue)Claude Sonnet 4.5 Default – Drove 10x customer growth⚠️ Pricing Unpredictability – Credit-based model most common complaint
Market position – Enterprise RAG platform between Azure AI Search and chatbot buildersTarget customers – Enterprises needing production RAG, white-label APIs, VPC/on-prem deploymentsKey competitors – Azure AI Search, Coveo, OpenAI Enterprise, Pinecone AssistantCompetitive advantages – Mockingbird LLM, hallucination detection, SOC 2/HIPAA compliance, millisecond responsesPricing advantage – Usage-based with free tier, best value for enterprise RAG infrastructureUse case fit – Mission-critical RAG, white-label APIs, Azure integration, high-accuracy requirements
Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricingvs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% fastervs Botsonic/Chatbase – More file formats, source citations, no hidden costsvs LangChain – Production-ready in 2 min vs weeks of development
Default: Claude Sonnet 4.5 – 'Almost no one overrides' per AnthropicClaude Family – Sonnet 4.5, 3.7, Haiku 3.5 (200K context)OpenAI – GPT-5, GPT-4o, GPT-4 Turbo, o3, o1Google – Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash
✅ Mockingbird LLM – 26% better than GPT-4 on BERT F1, 0.9% hallucination rate✅ Mockingbird 2 – 7 languages (EN/ES/FR/AR/ZH/JA/KO), under 10B parametersGPT-4/GPT-3.5 fallback – Azure OpenAI integration for OpenAI model preferenceHHEM + HCM – Hughes Hallucination Evaluation with Correction Model (Mockingbird-2-Echo)✅ No training on data – Customer data never used for model training/improvementCustom prompts – Templates configurable for tone, format, citation rules per domain
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 seriesAnthropic – Claude 4.5 Opus/Sonnet (Enterprise)Auto-routing – Intelligent model selection for cost/performanceManaged – No API keys or fine-tuning required
Hybrid Search – Semantic + keyword with Fuzziness slider (0-100)Document Processing – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB)Cloud Integration – Auto 24-hour sync (Drive, OneDrive, Dropbox, Notion, SharePoint)⚠️ Black Box – Vector database, embedding models undisclosed⚠️ NO Developer Control – Cannot customize retrieval parameters
✅ Hybrid search – Semantic vector + BM25 keyword matching for pinpoint accuracy✅ Advanced reranking – Multi-stage pipeline optimizes results before generation with relevance scoring✅ Factual scoring – HHEM provides reliability score for every response's grounding quality✅ Citation precision – Mockingbird outperforms GPT-4 on citation metrics, traceable to sourcesMultilingual RAG – Cross-lingual: query/retrieve/generate in different languages (7 supported)Structured outputs – Extract specific information for autonomous agent integration, deterministic data
GPT-4 + RAG – Outperforms OpenAI in independent benchmarksAnti-hallucination – Responses grounded in your content onlyAutomatic citations – Clickable source links in every responseSub-second latency – Optimized vector search and cachingScale to 300M words – No performance degradation at scale
Sales Automation – Lead qualification, scoring, enrichment, CRM syncingCustomer Support – Email triage, routing, FAQ, escalationVoice Agents (Gaia) – 30+ language phone automation with call transfer⚠️ NOT Ideal For – Developers needing RAG APIs, EU residency
Regulated industries – Health, legal, finance needing accuracy, security, SOC 2 complianceEnterprise knowledge – Q&A systems with precise answers from large document repositoriesAutonomous agents – Structured outputs for deterministic data extraction, decision-making workflowsWhite-label APIs – Customer-facing search/chat with millisecond responses at enterprise scaleMultilingual support – 7 languages with single knowledge base for multiple localesHigh accuracy needs – Citation precision, factual scoring, 0.9% hallucination rate (Mockingbird-2-Echo)
Customer support – 24/7 AI handling common queries with citationsInternal knowledge – HR policies, onboarding, technical docsSales enablement – Product info, lead qualification, educationDocumentation – Help centers, FAQs with auto-crawlingE-commerce – Product recommendations, order assistance
SOC 2 Type II + HIPAA with BAA – Independently auditedGDPR + PIPEDA + CCPA – Multi-region privacy complianceAES-256 + TLS 1.2+ – Encryption at rest and in transit⚠️ NO ISO 27001 – May limit enterprise procurement
✅ SOC 2 Type 2 – Independent audit demonstrating enterprise-grade operational security controls✅ ISO 27001 + GDPR – Information security management with EU data protection compliance✅ HIPAA ready – Healthcare compliance with BAAs available for PHI handling✅ Encryption – TLS 1.3 in transit, AES-256 at rest with BYOK support✅ Zero data retention – No model training on customer data, content stays privatePrivate deployments – VPC or on-premise for data sovereignty and network isolation
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance256-bit AES encryption – Data at rest; SSL/TLS in transitSSO + 2FA + RBAC – Enterprise access controls with role-based permissionsData isolation – Never trains on customer dataDomain allowlisting – Restrict chatbot to approved domains
Free: $0 – 400 credits, 1M chars, 1-day logsPro: $49.99 – 5K credits, 20M chars, phone callsBusiness: $199.99-$299.99 – 20K-30K credits, 50M chars, branding⚠️ PRIMARY COMPLAINT – Unpredictable credit consumption difficult to budget
30-day free trial – Full enterprise feature access for evaluation before commitmentUsage-based pricing – Pay for query volume and data size with scalable tiersFree tier – Generous free tier for development, prototyping, small production deploymentsEnterprise pricing – Custom pricing for VPC/on-prem installations, heavy usage bundles available✅ Transparent pricing – No per-seat charges, storage surprises, or model switching feesFunding – $53.5M raised ($25M Series A July 2024, FPV/Race Capital)
Standard: $99/mo – 10 chatbots, 60M words, 5K items/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
Lindy Academy – Step-by-step tutorials for business users100+ Templates – Pre-built workflows for common scenariosSlack + Forum – community.lindy.ai for peer support⚠️ NO Developer Docs – No API reference or technical architecture
Enterprise support – Dedicated channels and SLA-backed help for enterprise customersMicrosoft network – Extensive infrastructure, forums, technical guides backed by MicrosoftComprehensive docs – API references, integration guides, SDKs at docs.vectara.comSample code – Pre-built examples, Jupyter notebooks, quick-start guides for rapid integrationActive community – Developer forums for peer support, knowledge sharing, best practices
Documentation hub – Docs, tutorials, API referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Limitations & Considerations
NO Public REST API – Cannot manage agents programmaticallyBlack Box RAG – Vector database, embeddings undisclosedSearch Constraint – Fuzziness <100 limits to 1,500 filesCredit Unpredictability – Most common user complaint about costs⚠️ Platform Mismatch – Workflow automation vs RAG comparison misleading
⚠️ Azure ecosystem focus – Best with Azure services, less smooth for AWS/GCP organizations⚠️ Developer expertise needed – Advanced indexing requires technical skills vs turnkey no-code tools⚠️ No drag-and-drop GUI – Azure portal management but no chatbot builder like Tidio/WonderChat⚠️ Limited model selection – Mockingbird/GPT-4/GPT-3.5 only, no Claude/Gemini/custom models⚠️ Sales-driven pricing – Contact sales for enterprise pricing, less transparent than self-serve platforms⚠️ Overkill for simple bots – Enterprise RAG unnecessary for basic FAQ or customer service
Managed service – Less control over RAG pipeline vs build-your-ownModel selection – OpenAI + Anthropic only; no Cohere, AI21, open-sourceReal-time data – Requires re-indexing; not ideal for live inventory/pricesEnterprise features – Custom SSO only on Enterprise plan
N/A
Vector + LLM search – Smart retrieval with generative answers, context-aware responsesMockingbird LLM – Proprietary model with source citations (details )Multi-turn conversations – Conversation history tracking for smooth back-and-forth dialogue
✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI✅ Source citations – Every response includes clickable links to original documents✅ 93% resolution rate – Handles queries autonomously, reducing human workload✅ 92 languages – Native multilingual support without per-language config✅ Lead capture – Built-in email collection, custom forms, real-time notifications✅ Human handoff – Escalation with full conversation context preserved
Customization & Flexibility ( Behavior & Knowledge) N/A
Indexing control – Configure chunk sizes, metadata tags, retrieval parametersSearch weighting – Tune semantic vs lexical search balance per queryDomain tuning – Adjust prompt templates and relevance thresholds for specialty domains
Live content updates – Add/remove content with automatic re-indexingSystem prompts – Shape agent behavior and voice through instructionsMulti-agent support – Different bots for different teamsSmart defaults – No ML expertise required for custom behavior
Additional Considerations N/A
✅ Factual scoring – Hybrid search with reranking provides unique factual-consistency scoresFlexible deployment – Public cloud, VPC, or on-prem for varied compliance needsActive development – Regular feature releases and integrations keep platform current
Time-to-value – 2-minute deployment vs weeks with DIYAlways current – Auto-updates to latest GPT modelsProven scale – 6,000+ organizations, millions of queriesMulti-LLM – OpenAI + Claude reduces vendor lock-in
Join the Discussion
Loading comments...